Although a lot of progress has been made in the development of 2D objective video quality metrics, the area of 3D video quality metrics is still in its infancy. Many of the proposed metrics are simply adaptations of 2D quality metrics that consider the depth channel as an extra color channel. In this paper, we propose a 3D no-reference objective quality metric that estimates 3D quality taking into account spatial distortions, excessive disparity, depth representation and temporal information of the video. The metric is resolution and frame-rate independent. To estimate the amount of spatial distortion in the video, the proposed metric uses a blockiness metric. The contribution of motion and excessive disparity to 3D quality is calculated using a non-linear relative disparity measure and a frame-rate proportional motion measure. The metric's performance is verified against the COSPAD1 database. The MOS predicted using the proposed metric obtained good correlation values with the subjective scores. The performance was on average better than the performance of two simple 2D full reference metrics: SIMM and PSNR.
This paper presents a binarymatrix code based on QR Code (Quick Response Code), denoted as CQR Code (Colored Quick
Response Code), and evaluates the effect of JPEG, JPEG2000 and H.264/AVC compression on the decoding process. The
proposed CQR Code has three additional colors (red, green and blue), what enables twice as much storage capacity when
compared to the traditional black and white QR Code. Using the Reed-Solomon error-correcting code, the CQR Code
model has a theoretical correction capability of 38.41%. The goal of this paper is to evaluate the effect that degradations
inserted by common image compression algorithms have on the decoding process. Results show that a successful decoding
process can be achieved for compression rates up to 0.3877 bits/pixel, 0.1093 bits/pixel and 0.3808 bits/pixel for JPEG,
JPEG2000 and H.264/AVC formats, respectively. The algorithm that presents the best performance is the H.264/AVC,
followed by the JPEG2000, and JPEG.
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